Ayodele David Ayooluwa
Backend & DevOps Engineer | Microservices | Cloud Infrastructure
Computer Science student with hands-on experience in microservices, CI/CD pipelines, and cloud infrastructure. Built 22+ microservices with 50+ API endpoints using Python, FastAPI, Docker, and AWS. Reduced deployment cycles by 60% and maintained 85% uptime through automated DevOps practices. Specialized in building scalable backend systems and robust cloud infrastructure solutions.
Core Skills
Backend
DevOps & Cloud
Databases
Tools & AI/ML
Education & Training
Bachelor of Science in Computer Science
Covenant University, Nigeria | Expected 2027 | GPA: 4.83/5.0
Relevant Coursework: Data Structures, Distributed Systems, Software Engineering, AI, Cloud Computing
Certifications (In Progress)
- • AWS CLOUD PRACTITIONER
Experience
DevOps Intern | HNG Internship
Remote | 2024-2025
- • Built CI/CD pipelines with GitHub Actions for 6+ microservices, reducing deployment time by 60%
- • Managed cloud infrastructure with Docker and Kubernetes, maintaining 99.9% uptime
- • Implemented monitoring with Prometheus, Grafana, and Nginx for proactive issue detection
- • Collaborated in Agile teams using Git workflows and Jira for sprint management
Project Highlights
SchemaSage
Enterprise API Schema & Database Management Platform
AI-powered platform for database schema design, code generation, and migration with enterprise collaboration features. Architected 8 FastAPI microservices with OAuth/JWT, AI chat, real-time WebSocket, and database migration capabilities. Built AI-powered schema analysis with OpenAI/Gemini for relationship discovery and code generation in 9+ formats.
Ignitch
AI-Powered Digital Advertising & Billboard Marketplace
Production platform connecting advertisers with digital billboards using AI-powered content generation and multi-platform social media automation. Built FastAPI services for authentication, payments, social media integration, and IoT billboard control with GPT-4 powered content generation.
EduNerve
Multi-Tenant Educational Management SaaS
Multi-tenant platform for school management with AI-powered content generation and student analytics. Built 9-microservice architecture with complete tenant isolation and role-based access for 5 user types. Developed 30+ REST APIs for course/quiz management, bulk CSV imports, and progress tracking.
SoliVault
Smart Contract Security Platform
Smart contract generation and security analysis platform with enterprise DevOps infrastructure. Built 5 microservices architecture for AI-powered smart contract generation with security vulnerability detection and OWASP compliance auditing. Implemented CI/CD with GitHub Actions, AWS infrastructure (VPC, RDS, S3, EC2), and Terraform IaC.
AI/ML Specialized Projects
AI Stock Predictor
LSTM + Sentiment Engine
Developed an AI-driven stock predictor leveraging LSTM neural networks, achieving 85% directional accuracy in market movement forecasting with integrated sentiment analysis.
FashionLens
AI Fashion Analysis Engine
FashionLens is an AI-powered fashion analysis and recommendation engine that helps users identify clothing styles, detect fashion trends, and receive outfit suggestions. Leveraging computer vision and machine learning, it analyzes garments, textures, and styles to generate personalized recommendations for styling and shopping.
Email Spam Classifier
ML-Powered Text Classification
Advanced machine learning classifier for email and SMS spam detection using natural language processing techniques. Features multiple algorithms including Naive Bayes and SVM with 95% accuracy in identifying spam messages through feature extraction and text preprocessing.
Customer Churn Predictor
Predictive Analytics Platform
Comprehensive customer churn prediction system using ensemble learning methods to identify customers at risk of leaving. Features advanced data preprocessing, feature engineering, and model interpretability to help businesses proactively retain customers and optimize retention strategies.
About
My journey in Backend and DevOps engineering is driven by a passion for building scalable, intelligent systems that solve real-world problems. With expertise spanning cloud infrastructure, microservices architecture, and machine learning, I specialize in creating robust solutions that can handle massive scale while maintaining reliability and performance.
Currently pursuing my BSc in Computer Science at Covenant University with a 4.83/5.0 GPA, I combine academic knowledge with hands-on experience in deploying production systems. Whether it's architecting enterprise-grade microservices serving thousands of users or building AI-powered platforms, I'm committed to leveraging technology for meaningful impact.